Language Recognition System: An Application Based Study with Special Reference to Sociolinguistics and Computational Linguistics

Aby John
Post Graduate and Research Department of English, Presidency College (Autonomous), Chennai, India.
R. Harihara Krishnan
Department of Computer Science, Presidency College (Autonomous), Chennai, India.
A. Maria Vinitha
Department of Computer Science, Loyola College, Chennai, India.

Book Details

Author

Aby John
R. Harihara Krishnan
A. Maria Vinitha

Pages

12

Publisher

Book Publisher International

Language

English

ISBN-13 (15)

978-93-91473-11-2 (Print)
978-93-91215-67-5 (eBook)

Published

May 04, 2021

About The Author / Editor

A. Maria Vinitha

Department of Computer Science, Loyola College, Chennai, India.

Aby John

Post Graduate and Research Department of English, Presidency College (Autonomous), Chennai, India.

R. Harihara Krishnan

Department of Computer Science, Presidency College (Autonomous), Chennai, India.

The sign language is developed with an intention to communicate with mute people. In the case of English or Tamil, there is a common grammatical pattern for the usage of the language. But in the case of the sign language, there is no specific grammatical pattern. Different hand gestures and body languages are used to convey a single concept in different places. Meanwhile, in order to communicate, they use the linguistic properties of a language. There is a misconception that all sign languages are same throughout the world. But, in fact, they are unique. The sign language has variations in different regions on the basis of its vocabulary and grammar. The sign language differs in different countries and even at certain places within a country. Such a phenomenon can be experienced in the case of dialectical variations of spoken languages. The mute community of southern region of India, especially Tamil Nadu, uses Tamil Sign Language (TSL) and English Sign Language (ESL) for communication purposes. The primary focus of this research is to develop a recognition system for deaf and dumb people using image processing technique. However, it seems that, the proposed gesture recognizer is a complete sign language recognizer.

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